mSigSDK - private computation of mutation signatures

Area of Science:

• Bioinformatics
• Computational Biology
• Web Technologies

Background:

• Previous work established feasibility of privacy-preserving mutation signature analysis without downloads.
• Need for accessible tools to orchestrate distributed data processing and visualization in mutational signature analysis.

Purpose of the Study:

• To develop an in-browser Software Development Kit (SDK) named mSigSDK.
• To facilitate distributed data processing workflows and visualization of mutational signature analysis results.
• To ensure secure, private, and accessible analysis of individual patient data.

Main Methods:

• Developed mSigSDK using modern web computing standards (ECMAScript ES6 modules).
• Implemented in-browser computation via secure delegation to user's machine resources.
• Focused on FAIR (Findable, Accessible, Interoperable, Reusable) extensibility.

Main Results:

• mSigSDK enables fully in-browser mutational signature analysis.
• The SDK supports distributed data processing and graphical visualization.
• Analysis is performed securely on the user's local machine without downloads or installations.

Conclusions:

• mSigSDK provides a secure, private, and efficient platform for mutational signature analysis.
• The SDK enhances accessibility for researchers by eliminating download requirements.
• mSigSDK is extensible and aims to support integration with other mutation signature API ecosystems, fostering a data commons for research.